Data Engineering Services:
From Raw Data to Operational Decisions.
Infarsight Data Engineering services build the intelligence foundation that connects operational data to real-time business decisions, across ERP, CRM, IoT and operational systems. We build data pipelines and platforms designed for operational action, not just reporting.
What is Enterprise Data Engineering?
Enterprise data engineering is the practice of designing, building and maintaining the data pipelines, platforms and governance systems that connect raw operational data to business decisions. It covers data ingestion, transformation, quality management, real-time streaming and the infrastructure that makes AI and analytics possible at scale.
Enterprises Are Drowning in Data
Yet Starved of Operational Decisions.
Data Exists, But Isn't Usable
Siloed across ERP, CRM, IoT and BI systems with no unified layer. Teams can't trust what they're looking at. Decisions are made on contested data.
Insights Arrive Too Late
Reports take hours or days. By the time data reaches decision-makers, the operational window has closed, and the cost of inaction has already compounded.
Manual, Brittle Pipelines
One-off scripts, manual extracts and fragile integrations break under scale, costing time, trust and money. Data quality collapses within 6 months of go-live.
No Single Source of Truth
Finance, Operations and Technology each have a different version of the same number. Every team defines "customer" differently. Decisions are built on a flawed foundation.
"We're trying to do AI. But we haven't even engineered our data like a product."
, Chief Digital Officer, Ports (USA)
We Don't Just Deliver Data Pipelines.
We Own the Data Quality With You.
Operational Context First
We understand Travel, Ports and Mobility deeply. Our engineers don't just build pipelines, they understand the operational decisions those pipelines need to serve.
End-to-End Ownership
We connect data engineering directly to the automation and agentic AI layers. Your pipelines don't end at a dashboard, they feed the decision systems that run your operations.
Condense Accelerator
Our strategic investment in Condense reduces time to production-grade pipelines by up to 60%, pre-built connectors, governed templates and observability tooling built in.
BAU Commitment
We embed engineers into your operations for long-term data quality ownership. Unlike project-based delivery, we stay accountable for the health of the data systems we build.
The 4C Framework.
Most organisations have data. Very few have data that is current, clean, connected and contextual enough to drive operational decisions without human intervention.
Current
Available at the moment the decision needs to be made, not hours or days later.
Clean
Governed, validated and consistent across every system that touches it.
Connected
Unified across ERP, CRM, IoT and operational systems into one coherent layer.
Contextual
Enriched with the operational metadata needed to trigger the right action automatically.
Targeted tracks, not one-size-fits-all.
Each track is designed for a specific data problem. We deploy what your operation actually needs.
Business as Usual (BAU)
Your pipelines need to run like clockwork, monitored, maintained and trusted every day.
- Monitor and maintain ETL/ELT pipelines 24/7
- Fix issues before they impact reporting
- Ensure timely and trusted data delivery
- Root cause analysis & post-incident documentation
- No more 3AM calls about failed jobs
- Analysts stop babysitting data feeds
- Regain trust in your daily data
Data Streaming
Real-time pipelines that ingest, enrich and trigger actions the moment an event occurs.
- Design real-time streaming pipelines
- Ingest, enrich and trigger actions instantly
- Monitor for lags, drops and anomalies
- Resilient by design, retry logic & dead-letter queues
- Make decisions in minutes, not hours
- Power real-time customer experiences
- Automate responses without human delay
Data Quality Assessment
Audit every byte from ingestion to insights, identify hidden risks and fix broken pipelines before they break operations.
- Completeness & accuracy scoring
- Anomaly detection on key datasets
- Identify hidden risks & missed opportunities
- Detailed report with actionable fixes
- Monetize unused data assets
- Fix broken pipelines and cut waste
- Migrate with clarity, not chaos
Data Capturing (IoT & Edge)
Edge-to-boardroom ingestion, capturing data from cameras, meters, IoT devices and machines into scalable pipelines.
- Capture data from cameras, meters, IoT, machines
- Design scalable ingestion pipelines
- Handle initial and incremental loads
- Edge processing for low-latency field intelligence
- No more missing data from field devices
- Plug new devices into your data fabric
- Make field data work for the boardroom
Data Movement & Modernisation
Migrate legacy infrastructure to cloud-native architectures without disrupting live operations.
- Ingest from apps, sensors, cloud & on-prem
- Unify formats, resolve conflicts, standardise schema
- Migrate legacy to cloud-native lakehouse
- Full data lineage & observability throughout
- Build a clean, scalable system of record
- Eliminate integration delays & migration chaos
- Enable AI/BI and reduce infrastructure costs
Analytics Enablement
Turning data into self-serve intelligence that empowers operational decisions, not just executive reports.
- Align KPIs with operational business goals
- Build real-time, role-based dashboards
- Enable self-serve, action-ready analytics
- BI platform setup, governance & certified datasets
- Teams aligned on one version of truth
- Cut reporting delays & Excel workarounds
- Data teams focus on insights, not ad hoc requests
Master Data Management
Creating a single, trusted version of your most critical operational data, customers, assets, locations, products.
- Build a single source of truth for core entities
- Clean, de-duplicate & standardise master data
- Sync MDM across ERP, CRM, DWH & BI tools
- Data stewardship & governance model
- Eliminate silos with a 360° entity view
- Enable consistent, cross-team analytics
- Power personalisation, AI & automation
Data Engineering Services Purpose-Built for
Travel, Ports and Mobility Operations.
Travel & Hospitality
- Unified booking data across OTA, GDS & direct channels
- Real-time yield pipelines for dynamic pricing
- Guest data MDM, single guest profile across PMS
- Disruption event feeds for automated rebooking
Ports & Logistics
- Vessel tracking & berth scheduling data integration
- Container dwell time analytics from gate sensor + ERP
- Customs clearance & documentation pipelines
- Port throughput KPI dashboards with real-time feeds
Fleet & Mobility
- Vehicle telematics ingestion at scale, IoT to lakehouse
- Fleet health scoring for predictive maintenance
- Driver & route data MDM across dispatch systems
- EV charging event streams & utilisation analytics
Airlines
- Flight ops data, OAG, ACARS, flight plan integration
- Passenger journey stitching across PSS, DCS & loyalty
- Crew data management & rostering analytics
- Revenue management data for yield operations
Condense
Infarsight's strategic investment in Condense — a real-time streaming platform that reduces time to production-grade pipelines by up to 60%. Pre-built connectors for Travel, Hospitality and Mobility source systems. Governance, lineage and observability built in from day one.
Explore Condense →The data engineering workflow.
From operational problem to production data system, in a repeatable, governed process.
Discover
Data audit, source mapping, pain sizing. 1–2 weeks.
Design
Architecture blueprint, pipeline design, governance framework. 2–3 weeks.
Build
Pipeline development, integration, data quality rules. 4–12 weeks.
Operate
Monitoring, incident management, performance tuning. Ongoing.
Optimise
Query optimisation, new source onboarding, quality improvement. Continuous.
Ready to build your data foundation?
We begin with a Data Readiness Assessment, mapping your current landscape, identifying highest-value opportunities and designing the architecture.
Book a Data Readiness Assessment →